Busqueda Urgente Database Manager To Coordinate Fair Cohort Data Platform Ju-529
Responder al anuncioThe Barcelona Institute for Global Health (ISGlobal) is a cutting-edge institute addressing global public health challenges through research, translation into policy, and education. ISGlobal has a broad portfolio in communicable and non-communicable diseases including environmental and climate determinants, and applies a multidisciplinary scientific approach ranging from the molecular to the population level. Research is organized in the following main areas: Climate, Air Pollution, Nature and Urban Health; Environment and Health over the Lifecourse; Global Viral and Bacterial Infections; Malaria and Neglected Parasitic Diseases; Maternal, Child and Reproductive Health. ISGlobal is accredited with the Severo Ochoa distinction (received the first accreditation in 2019 and renewed it in 2024), a seal of excellence of the Spanish Science Ministry. WHAT WE ARE LOOKING FORIn the framework of our Centre for Excellence Severo Ochoa Programme (CEX2023-001290-S), ISGlobal is seeking an experienced data manager to develop, implement, and manage a FAIR cohort data platform that will contain longitudinal cohort databases with exposome-related data. ISGlobal cohorts have built and are building important infrastructures related to exposome research over the life-course (for example, longitudinal mother-child cohorts). As part of the Severo Ochoa Programme, we aim to implement a new cohort data platform to provide ISGlobal faculty and external collaborators with easy access to integrated data on environmental risk factors, multi-omics data, IDs, and NCDs, so as to spearhead new projects. This platform will integrate data from several important existing cohorts that are coordinated by ISGlobal and build a data infrastructure that is both FAIR (findable, accessible, interoperable, reusable) and suitable for big data analysis. The data manager will help in the design of this platform, implement the platform, and maintain key databases that form part of the platform, as well as providing datasets for analysis as required by ISGlobal faculty and collaborators. TRAINING AND EXPERIENCE / QUALIFICATIONSEducated to doctoral level in informatics, bioinformatics, biostatistics, or related topics. Experience in processing and managing complex data for scientific research, with experience in managing large longitudinal cohort datasets an advantage. Experience with relevant modern programming languages: R, Python. Experience with relational databases (PostgreSQL, MySQL) and SQL. Knowledge of federated database infrastructures using Opal/Armadillo and DataSHIELD. Knowledge of High-performance computing (HPC) systems using schedulers such as SLURM under Linux. Knowledge of Data Management Plans and Data Protection Methods. Strong preference for candidates who have applied the FAIR principles in scientific research. Experience in epidemiological sciences is an advantage. #J-18808-Ljbffr
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